| Stable reinforcement learning with autoencoders for tactile and visual data H Van Hoof, N Chen, M Karl, P van der Smagt, J Peters 2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016 | 148 | 2016 |
| On fast dropout and its applicability to recurrent networks J Bayer, C Osendorfer, D Korhammer, N Chen, S Urban, P van der Smagt International Conference on Learning Representations, 2013 | 83 | 2013 |
| Metrics for deep generative models N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P van der Smagt International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 | 80 | 2018 |
| Learning Hierarchical Priors in VAEs A Klushyn, N Chen, R Kurle, B Cseke, P van der Smagt Conference on Neural Information Processing Systems (NeurIPS), 2019 | 64 | 2019 |
| Dynamic movement primitives in latent space of time-dependent variational autoencoders N Chen, M Karl, P van der Smagt IEEE-RAS Humanoid Robots (Humanoids), 2016 | 61 | 2016 |
| Efficient movement representation by embedding dynamic movement primitives in deep autoencoders N Chen, J Bayer, S Urban, P Van Der Smagt 2015 IEEE-RAS 15th international conference on humanoid robots (Humanoids …, 2015 | 58* | 2015 |
| Fast Approximate Geodesics for Deep Generative Models N Chen, F Ferroni, A Klushyn, A Paraschos, J Bayer, P van der Smagt International Conference on Artificial Neural Networks (ICANN), 2019 | 20 | 2019 |
| Estimating finger grip force from an image of the hand using convolutional neural networks and gaussian processes N Chen, S Urban, C Osendorfer, J Bayer, P Van Der Smagt 2014 IEEE International Conference on Robotics and Automation (ICRA), 3137-3142, 2014 | 18 | 2014 |
| Human-aided robotic grasping N Chen, CM Chew, KP Tee, BS Han 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012 | 18 | 2012 |
| Active Learning based on Data Uncertainty and Model Sensitivity N Chen, A Klushyn, A Paraschos, D Benbouzid, P van der Smagt IEEE/RSJ International Conference on Intelligent Robots and System, 2018 | 15 | 2018 |
| Learning Flat Latent Manifolds with VAEs N Chen, A Klushyn, F Ferroni, J Bayer, P van der Smagt International Conference on Machine Learning (ICML), 2020 | 13 | 2020 |
| Measuring fingertip forces from camera images for random finger poses N Chen, S Urban, J Bayer, P van der Smagt 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 9 | 2015 |
| Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images N Chen, G Westling, BB Edin, P van der Smagt Robotica, 2019 | 8 | 2019 |
| System architecture for an interactive patrolling humanoid robot AH Adiwahono, B Liu, N Chen, TW Chang, AD Tran, X Wu, BS Han Proceedings of the Workshop at SIGGRAPH Asia, 119-123, 2012 | 5 | 2012 |
| Assistive grasping in teleoperation using infra-red proximity sensors N Chen, KP Tee, CM Chew 2013 IEEE RO-MAN, 232-237, 2013 | 4 | 2013 |
| Intuitive interaction for robotic grasping N Chen, KP Tee, CM Chew, R Yan Proceedings of the Workshop at SIGGRAPH Asia, 105-111, 2012 | 3 | 2012 |
| Increasing the Generalisaton Capacity of Conditional VAEs A Klushyn, N Chen, B Cseke, J Bayer, P van der Smagt International Conference on Artificial Neural Networks (ICANN), 2019 | 2 | 2019 |
| Early integration for movement modeling in latent spaces R Hornung, N Chen, P van der Smagt The Handbook of Multimodal-Multisensor Interfaces: Language Processing …, 2019 | 2 | 2019 |
| Efficient Movement Representation and Prediction with Machine Learning N Chen Technische Universität München, 2018 | 2 | 2018 |
| Metrics for deep generative models based on learned skills N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P van der Smagt Advances in Neural Information Processing Systems (NIPS) Workshop on …, 2017 | 2 | 2017 |
Patrick van der SmagtVerified email at tum.de
